24 machine-learning "https:" "https:" "https:" "https:" "The Open University" "The Open University" Postdoctoral positions at Texas A&M AgriLife
Sort by
Refine Your Search
-
ecological momentary assessment, smartphone-based tracking, or screenshot capture methods. - Experience applying machine learning techniques to a variety of data types such as with time-series data or image
-
-making and behavior (https://hbl.tamu.edu ). Responsibilities The Postdoctoral researcher will work primarily on collaborative research in the Department of Agricultural Economics and the IHA under
-
Type Staff Job Description Major/Essential Duties of Job: 1. Develop machine learning or physical based models for plant water stress quantification. 2. Develop machine learning models for crop mapping
-
AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of AgriLife and
-
research, covering research topics including, but not limited to Crop Modeling, Machine Learning, Artificial Intelligence (AI), Internet of Things, and Big Data analysis for Precision and Prescriptive
-
analysis with high resolution mass. Required skills, knowledge or abilities: -Good communication and computer skills -Ability to multi task and work cooperatively with others Preferred skills, knowledge
-
&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of
-
AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service. Click here to learn more about how you can be a part of AgriLife and
-
Bacterial genetics for multiple species of organism Required Special Knowledge, Skills, and Abilities: Good communication and computer skills. Open approach to defining a problem and designing a strategy for
-
of programming or scripting languages such as Python, Fortran, R or others. Experience in remote sensing data analysis and geographic information systems. Experience in machine learning motivated algorithms and